Alaska Universities Draft AI Rules Amid Limited Student Input
University of Alaska regents are reviewing a draft policy that mandates AI plans for all three campuses, though key stakeholders have not yet provided feedback.
The University of Alaska’s Board of Regents is currently weighing a draft artificial intelligence policy that would require all three of its campuses to implement specific AI strategies for students, faculty, and staff. The proposal aims to standardize how the institution handles emerging technologies while ensuring that human expertise remains central to the educational mission.
While the policy seeks to leverage AI for better access to educational services, it highlights a significant procedural gap. University leadership admits that the draft was finalized over the summer without sufficient input from the very people it affects, creating a trade-off between speed and inclusive governance that is now being addressed through upcoming consultations.
Policy prioritizes human oversight
The guiding principles of the draft emphasize maintaining data security and preventing the replacement of human talent with automated systems. Ben Shier, the university’s Chief Information Technology Officer, clarified that the technology is intended to amplify existing capabilities rather than replace them. This approach reflects a cautious stance, acknowledging that AI raises familiar questions about privacy and monitoring that the university has long navigated.
Shier noted that while AI brings greater focus to these issues, the underlying concerns are not new. The university is working to define where data can and cannot be used, particularly in sensitive areas like health records. This framework serves as a baseline for trust, ensuring that the integration of new tools does not compromise the confidentiality of student and staff information.
Rising student usage complicates control
The urgency of this discussion is underscored by recent data indicating a surge in student adoption of generative AI. A 2025 survey by Inside Higher Ed found that approximately 85% of college students now use these tools in their coursework. This widespread usage outpaces the university’s current ability to track and control every interaction with AI systems, creating a regulatory blind spot.
Regent Christine Ressler raised concerns about the institution’s capacity to maintain data security given this unmonitored usage. While the university provides guidance on its website regarding safe data handling, Shier acknowledged that the current infrastructure cannot fully audit external AI tools. This limitation means that the new policy must rely heavily on guidance and education rather than technical enforcement.
Feedback process begins this fall
Recognizing the need for broader input, university leadership plans to launch a series of listening sessions and online surveys this fall. As reported by GN technics/ai (en-US), these efforts aim to gather perspectives from students and faculty who were not included in the initial summer drafting process. The goal is to refine the policy to better reflect the practical realities of campus life.
A finalized draft is expected to be submitted for approval at the November regents meeting. Until then, the policy remains in a state of flux, balancing the desire for structured AI integration against the necessity of democratic consultation. The outcome will set a precedent for how public universities in the region manage the rapidly evolving landscape of academic technology.
